Time-Series Data Machine Learning using Facebook's Prophet

Forecasting Net Prophet

You’re a growth analyst at MercadoLibre. With over 200 million users, MercadoLibre is the most popular e-commerce site in Latin America. You've been tasked with analyzing the company's financial and user data in clever ways to make the company grow. So, you want to find out if the ability to predict search traffic can translate into the ability to successfully trade the stock.

Instructions Step 1: Find unusual patterns in hourly Google search traffic

Step 2: Mine the search traffic data for seasonality

Step 3: Relate the search traffic to stock price patterns

Step 4: Create a time series model with Prophet

Step 5 (optional): Forecast revenue by using time series models

Skills: Machine Learning, Unsupervised Learning, Facebook Prophet, Time-Series Data, Python, Pandas